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AWS Services (such as S3, Workspaces, Lambda, DMS, Glue, and Athena) Actuarial Assistant (Hybrid) AWS Services (such as S3, Workspaces, Lambda, DMS, Glue, and Athena) Exposure to programming languages, preferably Python, R, and/or VB.
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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.
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Familiarity with AWS services, such as S3, Redshift, Glue, and Athena. The ideal candidate will be proficient in data integration tools like Fivetran/Mulesoft, cloud-based data platforms such as Snowflake, and have experience with AWS services.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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4+ years of working experience with AWS Cloud Platform technologies, infrastructure, and practices in Production environment including CloudWatch, ECS, Lambda, Canaries, Step Function, EventBridge, DynamoDB, RDS, PostgreSQL, S3, API Gateway, Elastic Load Balancer, Athena, AWS X-Ray, SQS.
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Technical Experience 12 to 15 years of data management, data warehousing, master data management, data governance, reporting and analytics experience, withAt least 8 years of experience in delivering turnkey cloud based data and analytics solutions on AWS (preferred) or Azure ecosystemStrong technical background across AWS stack (S3, Glacier, Athena etc.
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3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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6 years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines 6 years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other 6 years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience working with cloud platforms (AWS) and relevant services (e.g., Lambda, s3, Athena, Aurora) Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP, Snowflake tasks.
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1+ years of experience in AWS technologies, such as AWS Batch, S3, Athena, Lambda, DynamoDB. 1+ years of experience in AWS technologies, such as AWS Batch, S3, Athena, Lambda, DynamoDB. Our domain is complex because it's the cutting edge of both academic and applied research in this product area so we expect you to be a fast learner.
$60 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands on experience on AWS such as EKS/ECS, SQS, MSK, S3, Athena, Glue, Terraform. Hands on experience on AWS such as EKS/ECS, SQS, MSK, S3, Athena, Glue, Terraform. Knowledge of Front End frameworks such as Angular, React, JavaScript, etc.
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Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Kubernetes, Docker, etc.) Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Kubernetes, Docker, etc.
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4+ years of working experience with AWS Cloud Platform technologies, infrastructure, and practices in Production environment including CloudWatch, ECS, Lambda, Canaries, DynamoDB, RDS, PostgreSQL, S3, API Gateway, Elastic Load Balancer, Athena, AWS X-Ray, SQS.
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Proficiency in AWS Glue, S3, Athena, Lambdas, API Gateways, EC2, MSK, R53. Experience with Informatica, AWS Glue, Step Functions, Data Lake, Datamesh, RDS, Python, Pyspark, PL/SQL, Unix, Shell, Windows, Jenkins, GitHub, BitBucket, Vault, CDC concepts, Informatica to AWS Glue migration, Informatica Upgrades, and ETL framework and solutioning knowledge.
$94,800 - $137,400 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR/Spark, Glue, Datasync, CloudHealth, CloudWatch, Lambda, Athena, and Redshift.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
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